Prediction Algorithm on Secretory Proteins of Bacillus subtilis XF-1

Bacillus subtilis XF-1 inhibits the growth of many plant pathogens, and therefore, is an important agricultural biocontrol agent. The gene sequence of 3 853 proteins was analyzed to identify the segments responsible for the generation of proteins secreted by the bacterium. The prediction algorithm base on the genetic information applied SignalP, ProtComp, TMHMM, Phobius, LipoP and TatP. The distribution of amino acids, length of signal peptide, and cleavage site of the 104 secretory proteins found in XF-1 were determined. The lengths of amino acid sequence and signal peptide of XF-1 differed from those of the pathogens. But, its cleavage site of the signal peptide belonged to the same AXA type as those of the pathogenic fungi, bacteria and oomycete found on plants. The bioinformatics analyses carried out in this study successfully forecasted the secretory proteins from B. subtilis. And, the identical type of cleavage site of signal peptide between SF-1 and other microorganisms suggested that the site was genetically conservative.